A Method for Automatic Picking of Velocity Spectrum Based on Convolutional Neural Network
A convolutional neural network and velocity pickup technology, applied in seismology, instruments, measurement devices, etc., can solve problems such as errors and subjective influences, and achieve the effect of avoiding the influence of errors, solving the problem of sample requirements, and saving manpower
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0040] This embodiment is a method for automatically picking up a velocity spectrum based on a convolutional neural network. The specific implementation process mainly includes the following steps: (1) randomly generating a velocity picking curve; (2) randomly generating a reflection coefficient; (3) selecting a suitable (4) Single-track seismic records are obtained by convolution of reflection coefficient and wavelet; (5) Two-dimensional horizontal gathers are obtained and simulated gathers are obtained by reaction correction; (6) The velocity spectrum is obtained by Radon transform; ( 7) Using the velocity spectrum and the velocity picking curve as samples to train the neural network; (8) Using the trained neural network for velocity spectrum identification.
[0041] A total of 100,000 samples are generated in this embodiment of the present invention. The selected velocity ranges from 1500m / s to 3500m / s, which is close to the seismic wave propagation velocity in the actual fo...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com